Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction
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Arman Hasanzadeh | Nick Duffield | Krishna R. Narayanan | Xi Liu | K. Narayanan | N. Duffield | Xi Liu | Arman Hasanzadeh
[1] R. Shumway,et al. Detecting Abrupt Changes in a Piecewise Locally Stationary Time Series. , 2008, Journal of multivariate analysis.
[2] Ulrich Appel,et al. Adaptive sequential segmentation of piecewise stationary time series , 1983, Inf. Sci..
[3] Andreas Loukas,et al. Predicting the evolution of stationary graph signals , 2016, 2017 51st Asilomar Conference on Signals, Systems, and Computers.
[4] W. Fuller,et al. Distribution of the Estimators for Autoregressive Time Series with a Unit Root , 1979 .
[5] Geert Leus,et al. Filter Design for Autoregressive Moving Average Graph Filters , 2017, IEEE Transactions on Signal and Information Processing over Networks.
[6] I. S. Gradshteyn,et al. MATRICES AND RELATED RESULTS , 1980 .
[7] Fei-Yue Wang,et al. Traffic Flow Prediction With Big Data: A Deep Learning Approach , 2015, IEEE Transactions on Intelligent Transportation Systems.
[8] James Bailey,et al. Time Series Forecasting Using Distribution Enhanced Linear Regression , 2013, PAKDD.
[9] K. Chan,et al. Testing for threshold autoregression , 1990 .
[10] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[11] H. Tong,et al. ON ESTIMATING THRESHOLDS IN AUTOREGRESSIVE MODELS , 1986 .
[12] Charles R. Johnson,et al. Characterization of supercommuting matrices , 1997 .
[13] Richard A. Berk,et al. Applied Time Series Analysis for the Social Sciences , 1980 .
[14] B. Mallick,et al. Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes , 2005 .
[15] Jérôme Kunegis,et al. Learning spectral graph transformations for link prediction , 2009, ICML '09.
[16] F. Chung. Laplacians and the Cheeger Inequality for Directed Graphs , 2005 .
[17] Zoubin Ghahramani,et al. Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning , 2004, NIPS.
[18] José M. F. Moura,et al. New York city taxi analysis with graph signal processing , 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
[19] Yong Wang,et al. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction , 2017, Sensors.
[20] Cyrus Shahabi,et al. Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting , 2017, ICLR.
[21] José M. F. Moura,et al. Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure , 2014, IEEE Signal Processing Magazine.
[22] Huachun Tan,et al. Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework , 2016, ArXiv.
[23] Alexander J. Smola,et al. Kernels and Regularization on Graphs , 2003, COLT.
[24] Pierre Vandergheynst,et al. Stationary Signal Processing on Graphs , 2016, IEEE Transactions on Signal Processing.
[25] Pierre Vandergheynst,et al. Graph Signal Processing: Overview, Challenges, and Applications , 2017, Proceedings of the IEEE.
[26] Muhammad Tayyab Asif,et al. Wavelets on graphs with application to transportation networks , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[27] Daniel B. Fambro,et al. Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting , 1999 .
[28] Ugur Demiryurek,et al. Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting , 2017, SDM.
[29] Pascal Frossard,et al. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains , 2012, IEEE Signal Processing Magazine.
[30] Anthony K. H. Tung,et al. SMiLer: A Semi-Lazy Time Series Prediction System for Sensors , 2015, SIGMOD Conference.
[31] Peter Sollich,et al. Learning curves for Gaussian process regression on random graphs , 2013 .
[32] Konstantin Avrachenkov,et al. Similarities on graphs: Kernels versus proximity measures , 2018, Eur. J. Comb..
[33] Kung-Sik Chan,et al. Models For Stationary Time Series , 2008 .
[34] José M. F. Moura,et al. Discrete Signal Processing on Graphs: Frequency Analysis , 2013, IEEE Transactions on Signal Processing.
[35] Santiago Segarra,et al. Stationary Graph Processes and Spectral Estimation , 2016, IEEE Transactions on Signal Processing.
[36] Ugur Demiryurek,et al. Latent Space Model for Road Networks to Predict Time-Varying Traffic , 2016, KDD.
[37] Inderjit S. Dhillon,et al. Kernel k-means: spectral clustering and normalized cuts , 2004, KDD.
[38] Pierre Vandergheynst,et al. Towards stationary time-vertex signal processing , 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[39] Zhanxing Zhu,et al. Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting , 2017, IJCAI.
[40] Antonio Ortega,et al. GRAPH VARIOGRAM: A NOVEL TOOL TO MEASURE SPATIAL STATIONARITY , 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
[41] Wenjing Pu. Analytic Relationships between Travel Time Reliability Measures , 2011 .
[42] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[43] I. Miller. Probability, Random Variables, and Stochastic Processes , 1966 .
[44] Paulo Gonçalves,et al. Design of graph filters and filterbanks , 2017, ArXiv.
[45] Andreas Loukas,et al. Stationary time-vertex signal processing , 2016, EURASIP Journal on Advances in Signal Processing.
[46] Shrikanth Narayanan,et al. Local stationarity of graph signals: insights and experiments , 2017, Optical Engineering + Applications.
[47] Neville Davies,et al. A portmanteau test for self-exciting threshold autoregressive-type nonlinearity in time series , 1986 .
[48] José M. F. Moura,et al. Discrete Signal Processing on Graphs , 2012, IEEE Transactions on Signal Processing.
[49] Robert B. Gramacy,et al. Bayesian treed gaussian process models , 2005 .
[50] José M. F. Moura,et al. Discrete signal processing on graphs: Graph filters , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.